Scholarly Trend Spotter is a custom GPT built by Laura Harvey, a commercial strategy and operations consultant with 15+ years in the scholarly space (laura-harvey.com), for spotting trends in scholarly publishing industry news. Publicly available on the GPT Store: https://chatgpt.com/g/g-68305cf615908191a8cef20c79fde68d-scholarly-trend-spotter
Benefits & outcomes
Cuts hours spent decoding industry updates.
Context-rich trend detection with sector-specific framing.
Useful for strategic prep and content ideation.
Notes & quotes
“Unlike a general‑purpose assistant, this customGPT has industry‑specific contextual knowledge… It iterates through an array of lenses and frameworks to analyse your input and optimise for trend spotting.”
Mark Carden's write-up of trying it: https://www.linkedin.com/posts/markcarden_ive-been-trying-out-laura-harveys-chatgpt-activity-7340011623908073474-Jc89
Harvey has since presented on scholarly AI trends at NISO Plus Global Online.
Publisher / company: Built by Laura Harvey
Date of mention: 09/06/2025
Source: https://www.linkedin.com/feed/update/urn:li:activity:7337746536539340800/